- Intelligent Control of high-performance Unmanned Aerial Vehicles: We’re integrating fast, power and memory-efficient deep neural networks coupled with reinforcement learning on our custom built GPU-based UAVs. The smart UAVs can be then used for autonomous navigation in different environments, precision agriculture, depth sensing, volumetric analysis and high-performance deep learning applications.
- A few preprints of our ongoing research has been included below -
- Efficient Object Detection Model for Real-Time UAV Applications
- Energy-aware Goal Selection and Path Planning of UAV Systems via Reinforcement Learning
- Custom Built GPU-based Drone Developed by Swapp Lab (demonstrated at UAV-Expo 2019)